pm4py.visualization.dfg package#
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.
Website: https://processintelligence.solutions Contact: info@processintelligence.solutions
Subpackages#
- pm4py.visualization.dfg.util package
- pm4py.visualization.dfg.variants package
- Submodules
- pm4py.visualization.dfg.variants.cost module
- pm4py.visualization.dfg.variants.frequency module
- pm4py.visualization.dfg.variants.performance module
- pm4py.visualization.dfg.variants.timeline module
Submodules#
pm4py.visualization.dfg.visualizer module#
PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see this software project’s root or visit <https://www.gnu.org/licenses/>.
Website: https://processintelligence.solutions Contact: info@processintelligence.solutions
- class pm4py.visualization.dfg.visualizer.Variants(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)[source]#
Bases:
Enum
- FREQUENCY = <module 'pm4py.visualization.dfg.variants.frequency' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\dfg\\variants\\frequency.py'>#
- PERFORMANCE = <module 'pm4py.visualization.dfg.variants.performance' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\dfg\\variants\\performance.py'>#
- COST = <module 'pm4py.visualization.dfg.variants.cost' from 'C:\\Users\\berti\\pm4py-core\\pm4py\\visualization\\dfg\\variants\\cost.py'>#
- pm4py.visualization.dfg.visualizer.apply(dfg0: Dict[Tuple[str, str], float], log: EventLog = None, activities_count: Dict[str, int] = None, serv_time: Dict[str, float] = None, parameters: Dict[Any, Any] | None = None, variant=Variants.FREQUENCY) Digraph [source]#
Visualize a frequency/performance directly-follows graph
Parameters#
- dfg0
Directly-follows graph
- log
(if provided) Event log for the calculation of statistics
- activities_count
(if provided) Dictionary associating to each activity the number of occurrences in the log.
- serv_time
(if provided) Dictionary associating to each activity the average service time
- parameters
Variant-specific parameters
- variant
Variant: - Frequency DFG representation - Performance DFG representation
Returns#
- gviz
Graphviz digraph
- pm4py.visualization.dfg.visualizer.save(gviz, output_file_path, parameters=None)[source]#
Save the diagram
Parameters#
- gviz
GraphViz diagram
- output_file_path
Path where the GraphViz output should be saved